Senior Software Engineer – API & ML Infrastructure

Build the backbone of the next generation of AI.

About Us
We’re a stealth-mode deep tech startup rethinking how AI models train, adapt, and scale. Our mission is to optimise large-scale AI systems — making them faster, smarter, greener, and cheaper. If you’re excited by infrastructure that powers the frontier of machine learning, we’d love to talk.

The Role
We’re looking for a Senior Software Engineer to lead development of a high-performance API platform that serves machine learning models at scale. You’ll take full ownership of the infra stack — from backend APIs to deployment and scaling. This role sits at the intersection of MLOps, cloud-native architecture, and distributed systems.

What You’ll Do
Build scalable APIs with FastAPI (or similar), Python, and modern web tooling
Design and maintain ML model serving infrastructure
Collaborate with ML engineers on training and deployment workflows
Own deployment: Kubernetes, Terraform, CI/CD pipelines
Build a slick analytics frontend using React or similar
Drive best practices in system design, performance, and reliability

What We’re Looking For
5+ years of software engineering experience
Strong backend skills — Python, REST APIs, FastAPI
Proven experience scaling cloud-native systems (AWS, microservices, IaC)
Kubernetes + Terraform expertise in production environments
Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX)
Frontend skills with React/TypeScript or similar
Bonus: big data / real-time analytics / multi-cloud

Why Join?
Equity with serious upside and rapidly rising valuation — early-stage, high-impact
Work at the cutting edge of ML systems and optimisation
Autonomy and ownership from day one
Fast growth path — help define both tech and culture
Close-knit, no-ego team of engineers and researcher